Ilias O. Pappas
Background and activities
Ilias O. Pappas holds a Ph.D. in business management and information systems and is currently a Postdoc fellow at the Department of Computer Science, NTNU, Norway. His teaching and research activities focus on the areas of strategic university-industry R&D partnerships, social innovation and entrepreneurship, as well as Internet marketing and information technology adoption. He has worked on EU-funded projects that support SMEs to innovate, network and grow by promoting innovation through collaboration platforms. Pappas has been a Guest Editor for the journals Information & Management and Information Systems and e-Business Management. He has published articles in peer reviewed journals and conferences including Journal of Business Research, European Journal of Marketing, Computers in Human Behavior, Information & Management, Psychology & Marketing. Pappas is a recipient of ERCIM and Marie Skłodowska-Curie fellowships.
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2020) Achieving agility and quality in product development -an empirical study of hardware startups. Journal of Systems and Software.
- (2020) Fitbit for learning: Towards capturing the learning experience using wearable sensing. International Journal of Human-Computer Studies. vol. 136.
- (2020) Investigating Aid Effectiveness in Developing Countries: The Case of Nepal. Lecture Notes in Computer Science (LNCS). vol. 12067.
- (2020) Toward Employee-Driven Digital Innovation in Public Organizations Through the Use of Action Design Research. Lecture Notes in Computer Science (LNCS). vol. 12067 LNCS.
- (2020) Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach. International Journal of Information Management. vol. 53.
- (2020) How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data. Lecture Notes in Computer Science (LNCS). vol. 12067.
- (2019) Cultural correlates of internet addiction. CyberPsychology, Behavior and Social Networking. vol. 22 (4).
- (2019) Technology-Enhanced Organizational Learning: A Systematic Literature Review. Lecture Notes in Computer Science (LNCS). vol. 11701 LNCS.
- (2019) Multimodal data as a means to understand the learning experience. International Journal of Information Management. vol. 48.
- (2019) Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review. Lecture Notes in Computer Science (LNCS). vol. 11701 LNCS.
- (2019) Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management.
- (2019) Big data and business analytics: A research agenda for realizing business value. Information & Management. vol. 57 (1).
- (2019) Explaining User Experience in Mobile Gaming Applications: An fsQCA Approach. Internet Research.
- (2019) The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study. Lecture Notes in Computer Science (LNCS). vol. 11701 LNCS.
- (2018) Software Startup Engineering: A Systematic Mapping Study. Journal of Systems and Software. vol. 144.
- (2018) Influence of Data Analysis, Entrepreneurial and Business Skills on Information Technology Firms: A Dynamic Capabilities Approach. Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS).
- (2018) The human side of big data: Understanding the skills of the data scientist in education and industry. IEEE Global Engineering Education Conference, EDUCON. vol. 2018-April.
- (2018) User experience in personalized online shopping: a fuzzy-set analysis. European Journal of Marketing. vol. 52 (7-8).
- (2018) Big Data and Business Analytics Ecosystems: Paving the way towards digital transformation and sustainable societies. Information Systems and E-Business Management. vol. 16 (3).
- (2017) Identifying Dropout Factors in Information Technology Education: A Case Study. IEEE Global Engineering Education Conference, EDUCON.